Paper Info
Title
On the design of heterogeneous sensor networks based on small world concepts
Abstract
Data communication may have a strong impact on the design of a wireless sensor network (WSN) since the energy cost related to the data transmission is typically much higher than the energy cost to perform data processing. Typically, data communication in a WSN tends to be different from other "traditional" data networks such as the Internet. In a WSN, there is a special node called sink that is either the origin or the destination of a message whereas, in the other networks, data communication happens between arbitrary communicating entities. In this scenario, the latency and the energy consumption during communication between the sink node and the other nodes can be optimized using Heterogeneous Sensor Networks (HSNs) created by applying the small world concepts. In order to generate a network with small world features, one should add a small number of long-range links, called shortcuts, whose endpoints are equipped with more powerful hardware, mainly the energy resources. In this work, we propose and evaluate two small world models that can be used in the design of HSNs. In particular, the directed angulation toward the sink node model exhibits the most interesting tradeoff between energy consumption and latency and the sink node as source/destination model presents the best results related to energy consumption and latency in the nodes near to the sink.
Year
DOI
Venue
2008
10.1145/1454503.1454555
MSWiM
Keywords
Field
DocType
energy resource,data communication,small world concept,energy consumption,heterogeneous sensor network,sink node,energy cost,data processing,sink node model,data network,data transmission,small number,complex network,complex networks,wireless sensor network
Key distribution in wireless sensor networks,Data transmission,Computer science,Latency (engineering),Computer network,Complex network,Wireless sensor network,Energy consumption,Sink (computing),The Internet,Distributed computing
Conference
Citations 
PageRank 
References 
10
0.93
11
Authors
3
Name
Order
Citations
PageRank
Daniel L. Guidoni120523.49
Raquel A. F. Mini224823.58
Antonio Loureiro32406197.77